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<div class="title">Helpers.inl</div>  </div>
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<a href="_helpers_8inl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_error_8h.xhtml">arm_compute/core/Error.h</a>&quot;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>&quot;</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &lt;numeric&gt;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">namespace </span>arm_compute</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;{</div>
<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ab7b3af731907e85fcaf72555c446176b">   32</a></span>&#160;<span class="keyword">inline</span> uint8_t <a class="code" href="namespacearm__compute.xhtml#ab7b3af731907e85fcaf72555c446176b">pixel_area_c1u8_clamp</a>(<span class="keyword">const</span> uint8_t *first_pixel_ptr, <span class="keywordtype">size_t</span> stride, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <span class="keywordtype">float</span> wr, <span class="keywordtype">float</span> hr, <span class="keywordtype">int</span> x, <span class="keywordtype">int</span> y)</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(first_pixel_ptr == <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="comment">// Calculate sampling position</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordtype">float</span> in_x = (x + 0.5f) * wr - 0.5f;</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="keywordtype">float</span> in_y = (y + 0.5f) * hr - 0.5f;</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="comment">// Get bounding box offsets</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keywordtype">int</span> x_from = std::floor(x * wr - 0.5f - in_x);</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keywordtype">int</span> y_from = std::floor(y * hr - 0.5f - in_y);</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <span class="keywordtype">int</span> x_to   = std::ceil((x + 1) * wr - 0.5f - in_x);</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keywordtype">int</span> y_to   = std::ceil((y + 1) * hr - 0.5f - in_y);</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="comment">// Clamp position to borders</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    in_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(-1.f, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(in_x, static_cast&lt;float&gt;(width)));</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    in_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(-1.f, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(in_y, static_cast&lt;float&gt;(height)));</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="comment">// Clamp bounding box offsets to borders</span></div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    x_from = ((in_x + x_from) &lt; -1) ? -1 : x_from;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    y_from = ((in_y + y_from) &lt; -1) ? -1 : y_from;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    x_to   = ((in_x + x_to) &gt; width) ? (width - in_x) : x_to;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    y_to   = ((in_y + y_to) &gt; height) ? (height - in_y) : y_to;</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="comment">// Get pixel index</span></div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xi = std::floor(in_x);</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yi = std::floor(in_y);</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="comment">// Bounding box elements in each dimension</span></div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> x_elements = (x_to - x_from + 1);</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> y_elements = (y_to - y_from + 1);</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(x_elements == 0 || y_elements == 0);</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="comment">// Sum pixels in area</span></div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">int</span> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a> = 0;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = yi + y_from, je = yi + y_to; j &lt;= je; ++j)</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    {</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        <span class="keyword">const</span> uint8_t *ptr = first_pixel_ptr + j * stride + xi + x_from;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        sum                = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(ptr, ptr + x_elements, sum);</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    }</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <span class="comment">// Return average</span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keywordflow">return</span> sum / (x_elements * y_elements);</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;}</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">size_t</span> dimension&gt;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">struct </span>IncrementIterators</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;{</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span>... Ts&gt;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(T &amp;&amp;it, Ts &amp;&amp;... iterators)</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    {</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        it.increment(dimension);</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        IncrementIterators&lt;dimension&gt;::unroll&lt;Ts...&gt;(std::forward&lt;Ts&gt;(iterators)...);</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    }</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(T &amp;&amp;it)</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    {</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        it.increment(dimension);</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        <span class="comment">// End of recursion</span></div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    }</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> unroll()</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    {</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        <span class="comment">// End of recursion</span></div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    }</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;};</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keyword">template</span> &lt;<span class="keywordtype">size_t</span> dim&gt;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="keyword">struct </span>ForEachDimension</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;{</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts&gt;</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(<span class="keyword">const</span> Window &amp;w, Coordinates &amp;<span class="keywordtype">id</span>, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators)</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    {</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <span class="keyword">const</span> <span class="keyword">auto</span> &amp;d = w[dim - 1];</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        <span class="keywordflow">for</span>(<span class="keyword">auto</span> v = d.start(); v &lt; d.end(); v += d.step(), IncrementIterators &lt; dim - 1 &gt;::unroll(iterators...))</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        {</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            <span class="keywordtype">id</span>.set(dim - 1, v);</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;            ForEachDimension &lt; dim - 1 &gt;::unroll(w, <span class="keywordtype">id</span>, lambda_function, iterators...);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        }</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    }</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;};</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="keyword">struct </span>ForEachDimension&lt;0&gt;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;{</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts&gt;</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> unroll(<span class="keyword">const</span> Window &amp;w, Coordinates &amp;<span class="keywordtype">id</span>, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators)</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    {</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        lambda_function(<span class="keywordtype">id</span>);</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    }</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;};</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> L, <span class="keyword">typename</span>... Ts&gt;</div>
<div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">  127</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;... iterators)</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    w.<a class="code" href="classarm__compute_1_1_window.xhtml#a048aaadf42ac725952523dd9546e96b5">validate</a>();</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <a class="code" href="hwc_8hpp.xhtml#abaabdc509cdaba7df9f56c6c76f3ae19">id</a>;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    ForEachDimension&lt;Coordinates::num_max_dimensions&gt;::unroll(w, <span class="keywordtype">id</span>, std::forward&lt;L&gt;(lambda_function), std::forward&lt;Ts&gt;(iterators)...);</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;}</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">  135</a></span>&#160;<span class="keyword">inline</span> constexpr <a class="code" href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">Iterator::Iterator</a>()</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    : _ptr(nullptr), _dims()</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;{</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;}</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div>
<div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml#a92d6469b972ef1e52b55b1ad7da70b02">  140</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">Iterator::Iterator</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *tensor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;win)</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    : <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a>()</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;{</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor == <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a> = tensor-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>();</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(info == <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides = info-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">strides_in_bytes</a>();</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    _ptr = tensor-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">buffer</a>() + info-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">offset_first_element_in_bytes</a>();</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="comment">//Initialize the stride for each dimension and calculate the position of the first element of the iteration:</span></div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n &lt; info-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>(); ++n)</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        _dims[n]._stride = win[n].step() * strides[n];</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        std::get&lt;0&gt;(_dims)._dim_start += strides[n] * win[n].start();</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    }</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="comment">//Copy the starting point to all the dimensions:</span></div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 1; n &lt; <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a>; ++n)</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    {</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        _dims[n]._dim_start = std::get&lt;0&gt;(_dims)._dim_start;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    }</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <a class="code" href="_validate_8h.xhtml#af5084ef537306d09b1ef82aed5d1f63f">ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE</a>(win, info-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>());</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;}</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div>
<div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml#a6e507a84d19ad08bb0f7fc1558ec429a">  166</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a6e507a84d19ad08bb0f7fc1558ec429a">Iterator::increment</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> dimension)</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;{</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt;= <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a>);</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    _dims[dimension]._dim_start += _dims[dimension]._stride;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n &lt; dimension; ++n)</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    {</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        _dims[n]._dim_start = _dims[dimension]._dim_start;</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    }</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;}</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div>
<div class="line"><a name="l00178"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml#a8760d21bd43ac13bd26489b7736245b3">  178</a></span>&#160;<span class="keyword">inline</span> constexpr <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a8760d21bd43ac13bd26489b7736245b3">Iterator::offset</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <span class="keywordflow">return</span> _dims.at(0)._dim_start;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;}</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div>
<div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">  183</a></span>&#160;<span class="keyword">inline</span> constexpr uint8_t *<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">Iterator::ptr</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <span class="keywordflow">return</span> _ptr + _dims.at(0)._dim_start;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;}</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div>
<div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">  188</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">Iterator::reset</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> dimension)</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;{</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dimension &gt;= <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a> - 1);</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    _dims[dimension]._dim_start = _dims[dimension + 1]._dim_start;</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = 0; n &lt; dimension; ++n)</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    {</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        _dims[n]._dim_start = _dims[dimension]._dim_start;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    }</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;}</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div>
<div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a1c9627ac3d73a67e9312c2c9740ff0a3">  200</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a1c9627ac3d73a67e9312c2c9740ff0a3">auto_init_if_empty</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <span class="keywordtype">int</span> num_channels, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fixed_point_position)</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;{</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    <span class="keywordflow">if</span>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a>() == 0)</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    {</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a4b622a0346ec30baf0b9a387e00c9ace">set_data_type</a>(data_type);</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ae05139a48d9360e44f5ef2eef64b23ec">set_num_channels</a>(num_channels);</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a40deec9ef7e7c892bef6b11b4d81c38e">set_tensor_shape</a>(shape);</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aec2c125ece3cc6593a0be7f1fef3d97f">set_fixed_point_position</a>(fixed_point_position);</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    }</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;}</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div>
<div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">  214</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">set_shape_if_empty</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>)</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;{</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="keywordflow">if</span>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a>() == 0)</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    {</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a40deec9ef7e7c892bef6b11b4d81c38e">set_tensor_shape</a>(shape);</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    }</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;}</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">  225</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">set_format_if_unknown</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format)</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;{</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <span class="keywordflow">if</span>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">DataType::UNKNOWN</a>)</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    {</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a43bf980bc1ac27efa062386baa506380">set_format</a>(format);</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    }</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;}</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;</div>
<div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">  236</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">set_data_type_if_unknown</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;{</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    <span class="keywordflow">if</span>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">DataType::UNKNOWN</a>)</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    {</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a4b622a0346ec30baf0b9a387e00c9ace">set_data_type</a>(data_type);</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    }</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;}</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;</div>
<div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#a0894ed18ca6f55d6053882676cc2c95c">  247</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespacearm__compute.xhtml#a0894ed18ca6f55d6053882676cc2c95c">set_fixed_point_position_if_zero</a>(<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <span class="keywordtype">int</span> fixed_point_position)</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;{</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    <span class="keywordflow">if</span>(info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">fixed_point_position</a>() == 0 &amp;&amp; (info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a> || info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>() == <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>))</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    {</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#aec2c125ece3cc6593a0be7f1fef3d97f">set_fixed_point_position</a>(fixed_point_position);</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    }</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;}</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;</div>
<div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ae3c6412e9c2b3b6c75a577f700e9b228">  258</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute.xhtml#ae3c6412e9c2b3b6c75a577f700e9b228">calculate_valid_region_scale</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;src_info, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;dst_shape, <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> policy, <a class="code" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size, <span class="keywordtype">bool</span> border_undefined)</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;{</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span>  wr = <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(dst_shape[0]) / static_cast&lt;float&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[0]);</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span>  hr = <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(dst_shape[1]) / static_cast&lt;float&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1]);</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> anchor;</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;    anchor.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a>(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>());</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> new_dst_shape(dst_shape);</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    anchor.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(0, (policy == <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9aad6fddf718ad19b063e02fdd7e8e3e65">InterpolationPolicy::BILINEAR</a></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;                   &amp;&amp; border_undefined) ?</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;               ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[0]) + border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a> + 0.5f) * wr - 0.5f) :</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;               ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[0]) + 0.5f) * wr - 0.5f));</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    anchor.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(1, (policy == <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9aad6fddf718ad19b063e02fdd7e8e3e65">InterpolationPolicy::BILINEAR</a></div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;                   &amp;&amp; border_undefined) ?</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;               ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[1]) + border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a> + 0.5f) * hr - 0.5f) :</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;               ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[1]) + 0.5f) * hr - 0.5f));</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    <span class="keywordtype">float</span> shape_out_x = (policy == <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9aad6fddf718ad19b063e02fdd7e8e3e65">InterpolationPolicy::BILINEAR</a></div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;                         &amp;&amp; border_undefined) ?</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;                        ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[0]) + static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[0]) - 1) - 1 + 0.5f) * wr - 0.5f :</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;                        ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[0]) + static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[0])) + 0.5f) * wr - 0.5f;</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    <span class="keywordtype">float</span> shape_out_y = (policy == <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9aad6fddf718ad19b063e02fdd7e8e3e65">InterpolationPolicy::BILINEAR</a></div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;                         &amp;&amp; border_undefined) ?</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;                        ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[1]) + static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[1]) - 1) - 1 + 0.5f) * hr - 0.5f :</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;                        ((static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">anchor</a>[1]) + static_cast&lt;int&gt;(src_info.<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">valid_region</a>().<a class="code" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[1])) + 0.5f) * hr - 0.5f;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    new_dst_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(0, shape_out_x - anchor[0]);</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    new_dst_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(1, shape_out_y - anchor[1]);</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a>(std::move(anchor), std::move(new_dst_shape));</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;}</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;</div>
<div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ad34f2150f1c9f8a3ecb7298162124e5d">  288</a></span>&#160;<span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <a class="code" href="namespacearm__compute.xhtml#ad34f2150f1c9f8a3ecb7298162124e5d">index2coords</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <span class="keywordtype">int</span> index)</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;{</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    <span class="keywordtype">int</span> num_elements = shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a>();</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;    <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(index &lt; 0 || index &gt;= num_elements, <span class="stringliteral">&quot;Index has to be in [0, num_elements]!&quot;</span>);</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(num_elements == 0, <span class="stringliteral">&quot;Cannot create coordinate from empty shape!&quot;</span>);</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> coord{ 0 };</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> d = shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() - 1; d &gt;= 0; --d)</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    {</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;        num_elements /= shape[d];</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        coord.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">set</a>(d, index / num_elements);</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;        index %= num_elements;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    }</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <span class="keywordflow">return</span> coord;</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;}</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;</div>
<div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="namespacearm__compute.xhtml#ad95e1c14c3007ca18950bf8f4c5a5c93">  307</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute.xhtml#ad95e1c14c3007ca18950bf8f4c5a5c93">coords2index</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord)</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;{</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <span class="keywordtype">int</span> num_elements = shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a>();</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    <a class="code" href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(num_elements);</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(num_elements == 0, <span class="stringliteral">&quot;Cannot create linear index from empty shape!&quot;</span>);</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    <span class="keywordtype">int</span> index  = 0;</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;    <span class="keywordtype">int</span> stride = 1;</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d &lt; coord.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>(); ++d)</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    {</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        index += coord[d] * stride;</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        stride *= shape[d];</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;    }</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;    <span class="keywordflow">return</span> index;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;}</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;} <span class="comment">// namespace arm_compute</span></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a3fdd42ea34070a54e696b3adc28c4be3"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">arm_compute::BorderSize::top</a></div><div class="ttdeci">unsigned int top</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00200">Types.h:200</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank) </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">arm_compute::InterpolationPolicy</a></div><div class="ttdeci">InterpolationPolicy</div><div class="ttdoc">Interpolation method. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00216">Types.h:216</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00884">FixedPoint.h:884</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad34f2150f1c9f8a3ecb7298162124e5d"><div class="ttname"><a href="namespacearm__compute.xhtml#ad34f2150f1c9f8a3ecb7298162124e5d">arm_compute::index2coords</a></div><div class="ttdeci">Coordinates index2coords(const TensorShape &amp;shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00288">Helpers.inl:288</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::ValidRegion::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00124">Types.h:124</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_abaabdc509cdaba7df9f56c6c76f3ae19"><div class="ttname"><a href="hwc_8hpp.xhtml#abaabdc509cdaba7df9f56c6c76f3ae19">id</a></div><div class="ttdeci">uint32_t id</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00252">hwc.hpp:252</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1c9627ac3d73a67e9312c2c9740ff0a3"><div class="ttname"><a href="namespacearm__compute.xhtml#a1c9627ac3d73a67e9312c2c9740ff0a3">arm_compute::auto_init_if_empty</a></div><div class="ttdeci">bool auto_init_if_empty(ITensorInfo &amp;info, const TensorShape &amp;shape, int num_channels, DataType data_type, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00200">Helpers.inl:200</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00136">Types.h:136</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a6e507a84d19ad08bb0f7fc1558ec429a"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a6e507a84d19ad08bb0f7fc1558ec429a">arm_compute::Iterator::increment</a></div><div class="ttdeci">void increment(size_t dimension)</div><div class="ttdoc">Increment the iterator along the specified dimension of the step value associated to the dimension...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00166">Helpers.inl:166</a></div></div>
<div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor. </div></div>
<div class="ttc" id="_error_8h_xhtml_a4103adbb45806b2f2002d44b91d0d206"><div class="ttname"><a href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(var)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00049">Error.h:49</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9aad6fddf718ad19b063e02fdd7e8e3e65"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9aad6fddf718ad19b063e02fdd7e8e3e65">arm_compute::InterpolationPolicy::BILINEAR</a></div><div class="ttdoc">Output values are defined by bilinear interpolation between the pixels. </div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00124">Error.h:124</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00038">ITensorInfo.h:38</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a982730e6f0da5f9490f59bc5f6bb3f27"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">arm_compute::Dimensions::set</a></div><div class="ttdeci">void set(size_t dimension, T value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00074">Dimensions.h:74</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad19446be52c2c162fa678b9ae236f445"><div class="ttname"><a href="namespacearm__compute.xhtml#ad19446be52c2c162fa678b9ae236f445">arm_compute::set_data_type_if_unknown</a></div><div class="ttdeci">bool set_data_type_if_unknown(ITensorInfo &amp;info, DataType data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00236">Helpers.inl:236</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a74dfd07380a290c34fe7c8e065029b95"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">arm_compute::ITensorInfo::valid_region</a></div><div class="ttdeci">virtual ValidRegion valid_region() const =0</div><div class="ttdoc">Valid region of the tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml_aeabcf37a281d780c90ebe812149a7a84"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">arm_compute::Iterator::ptr</a></div><div class="ttdeci">constexpr uint8_t * ptr() const </div><div class="ttdoc">Return a pointer to the current pixel. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00183">Helpers.inl:183</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ae05139a48d9360e44f5ef2eef64b23ec"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ae05139a48d9360e44f5ef2eef64b23ec">arm_compute::ITensorInfo::set_num_channels</a></div><div class="ttdeci">virtual void set_num_channels(int num_channels)=0</div><div class="ttdoc">Set the number of channels to the specified value. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ae3c6412e9c2b3b6c75a577f700e9b228"><div class="ttname"><a href="namespacearm__compute.xhtml#ae3c6412e9c2b3b6c75a577f700e9b228">arm_compute::calculate_valid_region_scale</a></div><div class="ttdeci">ValidRegion calculate_valid_region_scale(const ITensorInfo &amp;src_info, const TensorShape &amp;dst_shape, InterpolationPolicy policy, BorderSize border_size, bool border_undefined)</div><div class="ttdoc">Helper function to calculate the Valid Region for Scale. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00258">Helpers.inl:258</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00042">Types.h:42</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_aec2c125ece3cc6593a0be7f1fef3d97f"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#aec2c125ece3cc6593a0be7f1fef3d97f">arm_compute::ITensorInfo::set_fixed_point_position</a></div><div class="ttdeci">virtual void set_fixed_point_position(int fixed_point_position)=0</div><div class="ttdoc">Set the fixed point position to the specified value. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a6c0dcc38187027dcb89cd9724bc5a823"><div class="ttname"><a href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;...iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00127">Helpers.inl:127</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ab21a362740e892b6e913bd8db03b0e67"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">arm_compute::ITensorInfo::fixed_point_position</a></div><div class="ttdeci">virtual int fixed_point_position() const =0</div><div class="ttdoc">Fixed point position used when the tensor data type is QS8 or QS16. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a0894ed18ca6f55d6053882676cc2c95c"><div class="ttname"><a href="namespacearm__compute.xhtml#a0894ed18ca6f55d6053882676cc2c95c">arm_compute::set_fixed_point_position_if_zero</a></div><div class="ttdeci">bool set_fixed_point_position_if_zero(ITensorInfo &amp;info, int fixed_point_position)</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00247">Helpers.inl:247</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_ab988210662dbd3bf32fd563c7dd1bdbf"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">arm_compute::ITensor::buffer</a></div><div class="ttdeci">virtual uint8_t * buffer() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return a pointer to CPU memory. ...</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&#39;s metadata. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad95e1c14c3007ca18950bf8f4c5a5c93"><div class="ttname"><a href="namespacearm__compute.xhtml#ad95e1c14c3007ca18950bf8f4c5a5c93">arm_compute::coords2index</a></div><div class="ttdeci">int coords2index(const TensorShape &amp;shape, const Coordinates &amp;coord)</div><div class="ttdoc">Convert n-dimensional coordinates into a linear index. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00307">Helpers.inl:307</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a40deec9ef7e7c892bef6b11b4d81c38e"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a40deec9ef7e7c892bef6b11b4d81c38e">arm_compute::ITensorInfo::set_tensor_shape</a></div><div class="ttdeci">virtual void set_tensor_shape(TensorShape shape)=0</div><div class="ttdoc">Set the shape of an already initialized tensor. </div></div>
<div class="ttc" id="_error_8h_xhtml"><div class="ttname"><a href="_error_8h.xhtml">Error.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a0cb0e1f5da2e1cc2e0ea5690450f53e8"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a0cb0e1f5da2e1cc2e0ea5690450f53e8">arm_compute::TensorShape::set</a></div><div class="ttdeci">void set(size_t dimension, size_t value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00074">TensorShape.h:74</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a05374b750b0fc472c34ee61e6f028bba"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">arm_compute::BorderSize::left</a></div><div class="ttdeci">unsigned int left</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00203">Types.h:203</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a4b622a0346ec30baf0b9a387e00c9ace"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a4b622a0346ec30baf0b9a387e00c9ace">arm_compute::ITensorInfo::set_data_type</a></div><div class="ttdeci">virtual void set_data_type(DataType data_type)=0</div><div class="ttdoc">Set the data type to the specified value. </div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a45381773d6cba2ad9e9d2d04515fa40b"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a45381773d6cba2ad9e9d2d04515fa40b">arm_compute::Iterator::Iterator</a></div><div class="ttdeci">constexpr Iterator()</div><div class="ttdoc">Default constructor to create an empty iterator. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00135">Helpers.inl:135</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_af5084ef537306d09b1ef82aed5d1f63f"><div class="ttname"><a href="_validate_8h.xhtml#af5084ef537306d09b1ef82aed5d1f63f">ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_WINDOW_DIMENSIONS_GTE(w, md)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00191">Validate.h:191</a></div></div>
<div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00038">Strides.h:38</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a048aaadf42ac725952523dd9546e96b5"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a048aaadf42ac725952523dd9546e96b5">arm_compute::Window::validate</a></div><div class="ttdeci">void validate() const </div><div class="ttdoc">Will validate all the window&#39;s dimensions&#39; values when asserts are enabled. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00112">Window.inl:112</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab7b3af731907e85fcaf72555c446176b"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7b3af731907e85fcaf72555c446176b">arm_compute::pixel_area_c1u8_clamp</a></div><div class="ttdeci">uint8_t pixel_area_c1u8_clamp(const uint8_t *first_pixel_ptr, size_t stride, size_t width, size_t height, float wr, float hr, int x, int y)</div><div class="ttdoc">Return the pixel at (x,y) using area interpolation by clamping when out of borders. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00032">Helpers.inl:32</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a599f5025b7e6b8bfead740a88e56d5bc"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a599f5025b7e6b8bfead740a88e56d5bc">arm_compute::Iterator::reset</a></div><div class="ttdeci">void reset(size_t dimension)</div><div class="ttdoc">Move the iterator back to the beginning of the specified dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00188">Helpers.inl:188</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_ad0bd5cc32e7e4c0699eccba91e5de397"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">arm_compute::ITensorInfo::offset_first_element_in_bytes</a></div><div class="ttdeci">virtual size_t offset_first_element_in_bytes() const =0</div><div class="ttdoc">The offset from the beginning of the memory allocation to the first element of the tensor...</div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00109">Dimensions.h:109</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a43bf980bc1ac27efa062386baa506380"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a43bf980bc1ac27efa062386baa506380">arm_compute::ITensorInfo::set_format</a></div><div class="ttdeci">virtual void set_format(Format format)=0</div><div class="ttdoc">Set the format of an already initialized tensor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3"><div class="ttname"><a href="namespacearm__compute.xhtml#a3a440b3893fa10608d4428958be1c52ea696b031073e74bf2cb98e5ef201d4aa3">arm_compute::CLVersion::UNKNOWN</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a9d1a839c51134b2ae171a2264c541b6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">arm_compute::set_shape_if_empty</a></div><div class="ttdeci">bool set_shape_if_empty(ITensorInfo &amp;info, const TensorShape &amp;shape)</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00214">Helpers.inl:214</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a4eaec01ba2c12093db609d1034ad0bc1"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">arm_compute::TensorShape::total_size</a></div><div class="ttdeci">size_t total_size() const </div><div class="ttdoc">Collapses all dimensions to a single linear total size. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00135">TensorShape.h:135</a></div></div>
<div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a8076ba239b6681067b6cfea7f773a39f"><div class="ttname"><a href="namespacearm__compute.xhtml#a8076ba239b6681067b6cfea7f773a39f">arm_compute::set_format_if_unknown</a></div><div class="ttdeci">bool set_format_if_unknown(ITensorInfo &amp;info, Format format)</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00225">Helpers.inl:225</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a810a78f0b7cc0270f38d4136e023ea3b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">arm_compute::Dimensions::set_num_dimensions</a></div><div class="ttdeci">void set_num_dimensions(size_t num_dimensions)</div><div class="ttdoc">Set number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00115">Dimensions.h:115</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a6b14f175bf5281f57b561e2d4e4b1f1f"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">arm_compute::ITensorInfo::strides_in_bytes</a></div><div class="ttdeci">virtual const Strides &amp; strides_in_bytes() const =0</div><div class="ttdoc">The strides in bytes for accessing each dimension of the tensor. </div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00093">Types.h:93</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions&lt; int &gt;::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00259">Helpers.h:259</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00064">Types.h:64</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml_a55a69b397082accd94221dd10b722cf7"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">arm_compute::ValidRegion::anchor</a></div><div class="ttdeci">Coordinates anchor</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00123">Types.h:123</a></div></div>
<div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml_a8760d21bd43ac13bd26489b7736245b3"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#a8760d21bd43ac13bd26489b7736245b3">arm_compute::Iterator::offset</a></div><div class="ttdeci">constexpr int offset() const </div><div class="ttdoc">Return the offset in bytes from the first element to the current position of the iterator. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00178">Helpers.inl:178</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00115">Error.h:115</a></div></div>
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